Daniel P. Caron

433 total citations
9 papers, 151 citations indexed

About

Daniel P. Caron is a scholar working on Immunology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daniel P. Caron has authored 9 papers receiving a total of 151 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 2 papers in Molecular Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daniel P. Caron's work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (3 papers) and Entomological Studies and Ecology (2 papers). Daniel P. Caron is often cited by papers focused on T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (3 papers) and Entomological Studies and Ecology (2 papers). Daniel P. Caron collaborates with scholars based in United States, Switzerland and Japan. Daniel P. Caron's co-authors include Donna L. Färber, Steven B. Wells, Peter A. Szabo, Rei Matsumoto, Masaru Kubota, Nora Lam, Maya M.L. Poon, Peter A. Sims, David Chen and Adeeb Rahman and has published in prestigious journals such as Nature Medicine, Nature Communications and Immunity.

In The Last Decade

Daniel P. Caron

9 papers receiving 150 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel P. Caron United States	4	77	31	24	18	10	9	151
Yoon Seung Lee South Korea	7	75 1.0×	31 1.0×	47 2.0×	21 1.2×	30 3.0×	10	238
José Antônio Tavares de Albuquerque Brazil	6	55 0.7×	5 0.2×	30 1.3×	6 0.3×	14 1.4×	9	158
Arpita Bhurke United States	7	170 2.2×	17 0.5×	44 1.8×	8 0.4×	3 0.3×	9	241
Amy Switzer United Kingdom	11	40 0.5×	5 0.2×	82 3.4×	6 0.3×	8 0.8×	15	336
Hans-Christian Schuppe Germany	9	50 0.6×	10 0.3×	41 1.7×	4 0.2×	6 0.6×	11	162
Jan Baijer France	7	8 0.1×	24 0.8×	70 2.9×	15 0.8×	18 1.8×	9	146
Eric M. Wohlford United States	6	48 0.6×	8 0.3×	11 0.5×	68 3.8×	21 2.1×	7	157
F Purello-D'Ambrosio Italy	7	32 0.4×	8 0.3×	34 1.4×	22 1.2×	10 1.0×	13	447
Olivier B. Bakker Netherlands	6	60 0.8×	6 0.2×	93 3.9×	6 0.3×	13 1.3×	8	212
N McFadden Norway	10	72 0.9×	9 0.3×	27 1.1×	12 0.7×	9 0.9×	19	300

Countries citing papers authored by Daniel P. Caron

Since Specialization

Citations

This map shows the geographic impact of Daniel P. Caron's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel P. Caron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel P. Caron more than expected).

Fields of papers citing papers by Daniel P. Caron

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel P. Caron. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel P. Caron. The network helps show where Daniel P. Caron may publish in the future.

Co-authorship network of co-authors of Daniel P. Caron

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel P. Caron. A scholar is included among the top collaborators of Daniel P. Caron based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel P. Caron. Daniel P. Caron is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Caron, Daniel P., et al.. (2025). ADTnorm: robust integration of single-cell protein measurement across CITE-seq datasets. Nature Communications. 16(1). 5852–5852. 1 indexed citations

2.

Lam, Nora, Bruce A. Buchholz, Yoon Seung Lee, et al.. (2025). Asynchronous aging and turnover of human circulating and tissue-resident memory T cells across sites. Immunity. 58(9). 2271–2288.e6. 1 indexed citations

3.

Caron, Daniel P., David Chen, Steven B. Wells, et al.. (2025). Multimodal hierarchical classification of CITE-seq data delineates immune cell states across lineages and tissues. Cell Reports Methods. 5(1). 100938–100938. 4 indexed citations

4.

Bradley, Marissa C., Joshua I. Gray, Pranay Dogra, et al.. (2024). Distinct Localization, Transcriptional Profiles, and Functionality in Early Life Tonsil Regulatory T Cells. The Journal of Immunology. 213(3). 306–316. 2 indexed citations

5.

Poon, Maya M.L., Daniel P. Caron, Zicheng Wang, et al.. (2023). Tissue adaptation and clonal segregation of human memory T cells in barrier sites. Nature Immunology. 24(2). 309–319. 80 indexed citations

6.

Ural, Basak B., Daniel P. Caron, Pranay Dogra, et al.. (2022). Inhaled particulate accumulation with age impairs immune function and architecture in human lung lymph nodes. Nature Medicine. 28(12). 2622–2632. 54 indexed citations

7.

Caron, Daniel P., et al.. (2021). Proleg retractor muscles inManduca sextalarvae are segmentally different, suggesting anteroposterior specialization. Journal of Experimental Biology. 224(13). 1–7. 2 indexed citations

8.

Caron, Daniel P., et al.. (2020). The control of nocifensive movements in the caterpillar Manduca sexta. Journal of Experimental Biology. 223(Pt 16). 3 indexed citations

9.

Caron, Daniel P., et al.. (2020). Nociceptive neurons respond to multimodal stimuli in Manduca sexta. Journal of Experimental Biology. 223(Pt 3). 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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